✅ Section 1: Fundamentals of
Business Analytics (1–15)
- What
is the main objective of Business Analytics?
A. Data storage
B. Data visualization only
C. Data-driven decision making
D. Database management
✅ Answer: C - Which
of the following is NOT a type of analytics?
A. Descriptive
B. Predictive
C. Prescriptive
D. Curative
✅ Answer: D - Which
analytics type answers “What happened?”
A. Descriptive
B. Predictive
C. Diagnostic
D. Prescriptive
✅ Answer: A - Which
analytics type focuses on future trends?
A. Descriptive
B. Predictive
C. Diagnostic
D. Cognitive
✅ Answer: B - Which
of the following is a Business Intelligence tool?
A. MySQL
B. Python
C. Power BI
D. GitHub
✅ Answer: C - KPI
stands for:
A. Key Performance Indicator
B. Knowledge Performance Index
C. Key Processing Indicator
D. Known Performance Input
✅ Answer: A - Which
of the following is a structured data format?
A. Image
B. PDF
C. SQL table
D. Video
✅ Answer: C - Dashboards
in analytics are used for:
A. Writing reports
B. Managing code
C. Visualizing KPIs
D. Testing APIs
✅ Answer: C
- What
is the first step in business analytics?
A. Build the model
B. Data interpretation
C. Problem definition
D. Deployment
✅ Answer: C - SWOT
analysis helps in:
A. Data storage
B. Statistical modeling
C. Strategic decision-making
D. Time series forecasting
✅ Answer: C - Which
software is commonly used for Business Analytics?
A. AutoCAD
B. SAP
C. PowerPoint
D. Tally
✅ Answer: B - Which
type of analytics provides “what-if” analysis?
A. Descriptive
B. Predictive
C. Diagnostic
D. Prescriptive
✅ Answer: D - ETL
stands for:
A. Evaluate, Test, Launch
B. Extract, Transform, Load
C. Execute, Transfer, Link
D. Explore, Transfer, Learn
✅ Answer: B - Which
of these is a data visualization library in Python?
A. Matplotlib
B. NumPy
C. Pandas
D. Scikit-learn
✅ Answer: A - An
outlier in business data refers to:
A. A missed observation
B. An error in system
C. A data point that deviates significantly from others
D. An average value
✅ Answer: C
✅ Section 2: Statistical Tools
& Techniques (16–30)
- Which
of the following measures central tendency?
A. Mean
B. Variance
C. Standard deviation
D. Correlation
✅ Answer: A - The
probability of an impossible event is:
A. 0
B. 1
C. 100
D. Undefined
✅ Answer: A - What
does the p-value in hypothesis testing indicate?
A. Model accuracy
B. Likelihood of null being true
C. Significance of results
D. R-squared
✅ Answer: C - Which
statistical test compares means of two groups?
A. Chi-square test
B. ANOVA
C. T-test
D. Z-test
✅ Answer: C - Standard
deviation measures:
A. Central value
B. Data correlation
C. Spread or dispersion of data
D. Linearity
✅ Answer: C - Which
graph is best for categorical data?
A. Line graph
B. Histogram
C. Bar chart
D. Scatter plot
✅ Answer: C - Which
chart shows data distribution over intervals?
A. Histogram
B. Pie chart
C. Bar graph
D. Line chart
✅ Answer: A - Correlation
ranges from:
A. 0 to 1
B. -1 to 1
C. -100 to +100
D. 0 to infinity
✅ Answer: B - What
does R-squared indicate?
A. Correlation strength
B. Model fit to data
C. Significance level
D. Prediction error
✅ Answer: B
- Which
distribution is bell-shaped and symmetric?
A. Normal
B. Binomial
C. Uniform
D. Exponential
✅ Answer: A - In
a right-skewed distribution, the mean is:
A. Greater than median
B. Equal to median
C. Less than median
D. Undefined
✅ Answer: A - What
is a population in statistics?
A. Sample subset
B. Data file
C. Entire group being studied
D. Filtered records
✅ Answer: C - Which
test is used for categorical variable relationships?
A. Z-test
B. T-test
C. Chi-square test
D. ANOVA
✅ Answer: C - Which
method is used for forecasting trend data?
A. Time Series
B. Regression
C. Classification
D. Clustering
✅ Answer: A - Which
statistic shows relationship strength between two variables?
A. Variance
B. Mean
C. Correlation
D. Skewness
✅ Answer: C
✅ Section 3: Predictive Modeling
& Forecasting (31–45)
- Which
technique is best for predicting numerical values?
A. Classification
B. Regression
C. Clustering
D. Association
✅ Answer: B - Which
model type is used for customer segmentation?
A. Regression
B. Clustering
C. Classification
D. Neural networks
✅ Answer: B - Decision
trees are mainly used for:
A. Forecasting time
B. Descriptive statistics
C. Classification and regression
D. Dashboards
✅ Answer: C - Which
of the following is a supervised learning algorithm?
A. K-means
B. Apriori
C. Decision Tree
D. PCA
✅ Answer: C - Which
model helps predict binary outcomes (yes/no)?
A. Linear regression
B. Logistic regression
C. Decision trees
D. KNN
✅ Answer: B - Overfitting
occurs when a model:
A. Generalizes well
B. Is too simple
C. Fits training data too closely
D. Uses fewer features
✅ Answer: C - Which
evaluation metric is best for classification models?
A. MAE
B. RMSE
C. Accuracy
D. R-squared
✅ Answer: C - Which
algorithm is not used for classification?
A. Logistic Regression
B. Random Forest
C. K-means
D. Naïve Bayes
✅ Answer: C - Which
technique is used to reduce dimensionality?
A. Clustering
B. PCA
C. Regression
D. Decision Tree
✅ Answer: B - Which
of the following is a time-series forecasting model?
A. ARIMA
B. Naïve Bayes
C. Decision Tree
D. SVM
✅ Answer: A - Which
metric is used to evaluate regression models?
A. Precision
B. Recall
C. RMSE
D. Confusion Matrix
✅ Answer: C - Which
of these is not a machine learning model?
A. Linear Regression
B. K-means
C. SWOT
D. Decision Tree
✅ Answer: C - Which
algorithm is suitable for anomaly detection?
A. Clustering
B. Linear regression
C. Logistic regression
D. PCA
✅ Answer: A - What
is the role of a confusion matrix?
A. Identify model bias
B. Evaluate classification performance
C. Visualize trends
D. Perform clustering
✅ Answer: B - Precision
is defined as:
A. TP / (TP + FP)
B. TP / (TP + FN)
C. TN / (TN + FP)
D. TP / (TP + TN)
✅ Answer: A
✅ Section 4: Decision-Making
& Case-Based Reasoning (46–60)
- What
is a decision support system (DSS)?
A. A website
B. A server-based application
C. A system that supports business decision-making
D. A reporting tool
✅ Answer: C - Which
model helps in portfolio risk analysis?
A. Regression
B. Monte Carlo simulation
C. Clustering
D. PCA
✅ Answer: B - Business
rules in analytics are often derived from:
A. Dashboards
B. Data mining
C. SQL queries
D. Data cleaning
✅ Answer: B - Case-based
reasoning involves:
A. Guessing past decisions
B. Automating model building
C. Reusing past solutions for new problems
D. Cleaning data
✅ Answer: C
- Which
technique helps visualize cause-and-effect relationships?
A. Histograms
B. Fishbone diagram
C. Pie charts
D. Line graphs
✅ Answer: B - Which
framework helps prioritize business initiatives?
A. RACI
B. Eisenhower Matrix
C. BCG Matrix
D. SWOT
✅ Answer: C - Which
metric evaluates customer lifetime value?
A. CLV
B. NPV
C. CAGR
D. ROI
✅ Answer: A - Which
concept helps measure customer satisfaction?
A. KPI
B. CLV
C. NPS
D. LTV
✅ Answer: C - Net
Present Value (NPV) is used for:
A. Cost tracking
B. Long-term profitability analysis
C. Short-term cash forecasting
D. Customer segmentation
✅ Answer: B - Which
technique is used for decision optimization?
A. Regression
B. Linear programming
C. Classification
D. Logistic regression
✅ Answer: B - Which
of the following measures project efficiency?
A. Payback period
B. Lead conversion
C. Net Promoter Score
D. Funnel ratio
✅ Answer: A - What
does the Pareto principle suggest?
A. 80% of effects come from 20% of causes
B. 50% effort gives 50% output
C. Balanced analysis gives perfect results
D. Random behavior produces consistent patterns
✅ Answer: A - KPI
dashboards are commonly used by:
A. Developers
B. Sales and Marketing teams
C. Database admins
D. Network engineers
✅ Answer: B - Which
method helps understand root cause of problems?
A. 5 Whys
B. Decision Tree
C. Pie chart
D. PCA
✅ Answer: A - Balanced
Scorecard is a tool for:
A. Machine learning
B. Web analytics
C. Strategic management
D. Code optimization
✅ Answer: C
✅ Section 5: Real-World
Applications & Tools (61–75)
- CRM
analytics helps in analyzing:
A. Finance
B. Supply chain
C. Customer behavior
D. HR records
✅ Answer: C - Which
platform offers drag-and-drop dashboard design?
A. Excel
B. Python
C. Tableau
D. Hadoop
✅ Answer: C - What
does OLAP stand for?
A. Online Analytical Processing
B. Offline Analytics Performance
C. Online Application Layer
D. Operational Learning AI Program
✅ Answer: A - Which
language is widely used in business analytics scripting?
A. HTML
B. Java
C. R
D. C++
✅ Answer: C - Which
tool is most commonly used for SQL-based analytics?
A. Python
B. PostgreSQL
C. Tableau
D. Excel
✅ Answer: B - Which
company uses analytics for personalized shopping recommendations?
A. FedEx
B. Netflix
C. Google Maps
D. GitHub
✅ Answer: B - Which
method is used in A/B testing?
A. Experimental design
B. Regression
C. Classification
D. Forecasting
✅ Answer: A - Which
industry uses churn prediction extensively?
A. Agriculture
B. Telecom
C. Manufacturing
D. Mining
✅ Answer: B - What
is data wrangling?
A. Storing large data
B. Cleaning and preparing raw data
C. Compressing big data
D. Querying JSON files
✅ Answer: B - A
Sankey diagram is used to show:
A. Circular flows
B. Resource distribution
C. Flow of data/values between nodes
D. Time trends
✅ Answer: C - Which
of these is NOT a benefit of business analytics?
A. Cost efficiency
B. Random sampling
C. Better decision making
D. Risk mitigation
✅ Answer: B - Which
concept applies analytics to operations?
A. Data warehousing
B. Operational analytics
C. Neural networks
D. Image processing
✅ Answer: B - Which
metric shows how many leads convert to customers?
A. ROI
B. CLV
C. Conversion rate
D. Retention score
✅ Answer: C - Which
technology supports real-time analytics?
A. Hadoop
B. Spark
C. Tableau
D. Excel
✅ Answer: B - Which
of the following platforms integrates dashboards and BI in the cloud?
A. Amazon EC2
B. Azure Synapse
C. Power BI
D. Notepad++
✅ Answer: C
